Course overview.
This course combines theory with hands-on experience, enabling participants to work with real-world datasets and predictive models. Learners will explore techniques such as regression analysis, classification, clustering, and time-series forecasting, gaining practical skills to identify trends and anticipate outcomes. By the end of the course, participants will be able to apply data science methodologies confidently, improve operational efficiency, and support organisational decision-making with predictive insights.
Who it's for.
This course is designed for data analysts, business intelligence professionals, IT specialists, and decision-makers seeking to leverage data science for predictive insights. It is also suitable for those looking to advance their careers in data-driven roles, improve forecasting accuracy, or gain a deeper understanding of machine learning applications in business contexts.
What you'll learn.
Module 1: Data Exploration and Preparation
This module lays the critical foundation for all data science work. Participants will learn how to collect, clean, and transform raw data into a structured format suitable for analysis. The module covers techniques for handling missing values, outliers, and inconsistent data, as well as methods for feature selection and engineering to enhance predictive power. Learners will also explore data visualisation strategies to identify patterns, trends, and relationships within datasets, ensuring they can communicate insights effectively.
Module 2: Statistical Analysis and Machine Learning
Building on a solid foundation, this module introduces statistical methods and machine learning algorithms essential for predictive analytics. Participants will explore regression techniques, classification methods, clustering approaches, and time-series forecasting. The module emphasises hands-on application, allowing learners to apply algorithms to real-world datasets, evaluate model performance, and fine-tune parameters for accuracy.
Module 3: Applied Predictive Analytics
The final module focuses on translating analytical outcomes into business value. Participants will learn to interpret model results, evaluate predictive performance metrics, and communicate findings to non-technical stakeholders. The module incorporates case studies and scenario-based exercises to simulate real-world decision-making, demonstrating how predictive analytics can optimise operations, forecast trends, and support strategic planning.
Book your place.
Fill in the form and we'll confirm your booking the same working day. Invoice on request — we accept PO numbers from public bodies and corporate accounts.
Reserve your seat.
Book the Minitab Training course. We'll confirm your seat by email the same working day. PO numbers and invoicing accepted.
Got it — your booking enquiry is in.
We'll confirm your seat by email within the same working day. You should also see a copy of your enquiry in your inbox. Need anything urgent? Email hello@ascenttrainingwales.co.uk or use the live chat.
This course is fully fundable through ReACT+.
If you've been made redundant or are facing redundancy in Wales, the Welsh Government's ReACT+ scheme can fund up to £1,500 toward this course — plus childcare, travel and accommodation expenses. We'll handle the application.
Benefits of Attending This Course
Learn how to apply data science principles to strategic decision-making, enabling you to evaluate opportunities, anticipate future trends and make informed choices that drive sustainable business success.
Ascent Training Wales · Bridgend.
Our conference room is purpose-built for effective training — bright, modern, and fully equipped for workshops, seminars and accredited sessions.
Llynfi Enterprise CentreHeol Ty Gwyn Industrial Estate
Maesteg, Bridgend, CF34 0BQ
Use Data Science to Make Better Strategic Decisions
Turn Data into Strategy
Learn how to interpret data-driven insights and use them to support long-term planning, business growth and strategic initiatives.
Improve Decision-Making
Develop practical skills for evaluating trends, forecasting outcomes and making evidence-based decisions with greater confidence.
Gain Competitive Advantage
Discover how data science and predictive analytics can identify opportunities, reduce risk and support smarter business performance.
Common questions.
Quick answers to what most people ask before booking. Still need help? Get in touch.
How long is the course and where is it delivered?
How much does it cost and what's included?
When is the next date available?
Is this course eligible for ReACT+ funding?
Can you deliver this course in-house for our team?
From the classroom.
Our Bridgend venue is purpose-built for working learning — bright, modern, configurable for cohorts of four to twelve, with quality AV throughout and free parking right outside.
Llynfi Enterprise Centre · Bridgend · More about our venue →
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Ready when you are.
Book Data Science and Predictive Analytics Course for £275 a seat, or send us a brief and we'll come back with a tailored in-house quote for your team within two working days.